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A detailed census of variable stars in the globular cluster NGC 6333 (M9) from CCD differential photometry

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(1)MNRAS 434, 1220–1238 (2013). doi:10.1093/mnras/stt1080. Advance Access publication 2013 July 15. A detailed census of variable stars in the globular cluster NGC 6333 (M9)  from CCD differential photometry. 1 Instituto. de Astronomı́a, Universidad Nacional Autónoma de México, Ciudad Universitaria CP 04510, Mexico Southern Observatory, Karl-Schwarzschild-Straβe 2, D-85748 Garching bei München, Germany 3 SUPA, School of Physics and Astronomy, University of St. Andrews, North Haugh, St Andrews KY16 9SS, UK 4 Indian Institute of Astrophysics, Koramangala 560034, Bangalore, India 5 Niels Bohr Institute, University of Copenhagen, Juliane Maries vej 30, DK-2100 Copenhagen, Denmark 6 Centre for Star and Planet Formation, Geological Museum, Øster Voldgade 5, DK-1350 Copenhagen, Denmark 7 Qatar Foundation, PO Box 5825, Doha, Qatar 8 Department of Astronomy, Boston University, 725 Commonwealth Ave, Boston, MA 02215, USA 9 Dipartimento di Fisica ‘E.R Caianiello’, Universit di Salerno, Via Ponte Don Melillo, I-84084 Fisciano, Italy 10 Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, Italy 11 Istituto Internazionale per gli Alti Studi Scientifici (IIASS), Vietri Sul Mare (SA), Italy 12 Institut d’Astrophysique et de Géophysique, Université de Liège, Allée du 6 Août 17, Sart Tilman, Bât. B5c, B-4000 Liège, Belgium 13 Astronomisches Rechen-Institut, Zentrum für Astronomie der Universität Heidelberg (ZAH), Mönchhofstr. 12-14, D-69120 Heidelberg, Germany 14 Hamburger Sternwarte, Universität Hamburg, Gojenbergsweg 112, D-21029 Hamburg, Germany 15 Institut für Astrophysik, Georg-August-Universität, Friedrich-Hund-Platz 1, D-37077 Göttingen, Germany 16 Main Astronomical Observatory, Academy of Sciences of Ukraine, vul. Akademika Zabolotnoho 27, 03680 Kyiv, Ukraine 17 Korea Astronomy and Space Science Institute, Daejeon 305-348, Korea 18 Jodrell Bank Centre for Astrophysics, University of Manchester, Oxford Road, Manchester M13 9PL, UK 19 Max Planck Institute for Astronomy, Königstuhl 17, D-69117 Heidelberg, Germany 20 Department of Astronomy, Ohio State University, 140 West 18th Avenue, Columbus, OH 43210, USA 21 Instituto de Astrofı́sica, Facultad de Fı́sica, Pontificia Universidad Católica de Chile, Av. Vicuña Mackenna 4860, 7820436 Macul, Santiago, Chile 22 Department of Physics, Sharif University of Technology, PO Box 11155–9161, Tehran, Iran 23 Perimeter Institute for Theoretical Physics, 31 Caroline St. N., Waterloo ON N2L 2Y5, Canada 24 Instituto de Astronomı́a - UNAM, Km 103 Carretera Tijuana Ensenada, 422860 Ensenada (Baja Cfa), Mexico 25 INFN, Gruppo Collegato di Salerno, Sezione di Napoli, Italy 26 Max Planck Institute for Solar System Research, Max-Planck-Str. 2, D-37191 Katlenburg-Lindau, Germany 27 Astrophysics Group, Keele University, Staffordshire ST5 5BG, UK 2 European. Accepted 2013 June 13. Received 2013 June 9; in original form 2013 May 19. ABSTRACT. We report CCD V and I time series photometry of the globular cluster NGC 6333 (M9). The technique of difference image analysis has been used, which enables photometric precision better than 0.05 mag for stars brighter than V ∼ 19.0 mag, even in the crowded central regions of the cluster. The high photometric precision has resulted in the discovery of two.  Based on observations collected with the 2.0 m telescope at the Indian Astrophysical Observatory, Hanle, India, and with the Danish 1.54 m telescope at the ESO La Silla Observatory in Chile. † E-mail: [email protected]  C 2013 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society. Downloaded from http://mnras.oxfordjournals.org/ at Pontificia Universidad Cat�lica de Chile on May 19, 2016. A. Arellano Ferro,1 † D. M. Bramich,2 R. Figuera Jaimes,2,3 Sunetra Giridhar,4 N. Kains,2 K. Kuppuswamy,4 U. G. Jørgensen,5,6 K. A. Alsubai,7 J. M. Andersen,8,6 V. Bozza,9,10 P. Browne,3 S. Calchi Novati,9,11 Y. Damerdji,12 C. Diehl,13,14 M. Dominik,3 S. Dreizler,15 A. Elyiv,12,16 E. Giannini,13 K. Harpsøe,5,6 F. V. Hessman,15 T. C. Hinse,17,5 M. Hundertmark,3 D. Juncher,5,6 E. Kerins,18 H. Korhonen,5,6 C. Liebig,3 L. Mancini,19 M. Mathiasen,5 M. T. Penny,20 M. Rabus,21 S. Rahvar,22,23 D. Ricci,12,24 G. Scarpetta,9,25 J. Skottfelt,5,6 C. Snodgrass,26 J. Southworth,27 J. Surdej,12 J. Tregloan-Reed,27 C. Vilela27 and O. Wertz12 (The MiNDSTEp consortium).

(2) Variable star census in NGC 6333. 1221. Key words: stars: fundamental parameters – globular clusters: individual: NGC 6333 – stars: variables: general – stars: variables: RR Lyrae.. 1 I N T RO D U C T I O N In the last thirty years, the variable stars in the globular cluster NGC 6333 (M9 or C1716−184 in the IAU nomenclature) (α = 17h 19m 11.s 8, δ = −18◦ 30 58. 5, J2000; l = 5.◦ 54, b = +10.◦ 71) have been the subject of some analyses based on photographic and CCD time series photometry (Clement, Ip & Robert 1984; Clement & Walker 1991; Clement & Shelton 1996, 1999). The 2012 update for NGC 6333 in the Clement et al. (2001) Catalogue of Variable Stars in Globular Clusters (CVSGC) lists 21 known variable stars; nine RRab, nine RRc, one long period variable (V8), one Pop II Cepheid (V12) and one eclipsing binary (V21). This makes the cluster attractive for a Fourier decomposition analysis of the RR Lyrae star light curves with the aim of calculating their physical parameters from semi-empirical calibrations. Furthermore, this cluster has a crowded central region where it is difficult to perform conventional point spread function (PSF) fitting photometry. The application of difference image analysis (DIA) to image data for this cluster for the first time therefore opens up the possibility of new variable star discoveries. Recently our team has performed CCD photometry of several globular clusters by employing the DIA technique to produce precise time series photometry of individual stars down to V ∼ 19.5 mag. The DIA photometry has proven to be a very useful tool in obtaining high-quality light curves of known variables, and for discovering and classifying new variables (e.g. Arellano Ferro et al. 2011; Bramich et al. 2011; Kains et al. 2012; Figuera Jaimes et al. 2013; and references therein), where previous CCD photometric studies have not detected stellar variability, particularly in the crowded central regions of the clusters. Thus, in this paper we report the analysis of new time series photometry of NGC 6333 in the V and I filters. In Section 2, we describe the observations and data reductions. In Section 3, the problem of the differential reddening in the cluster field of view (FOV) is addressed and the approach we used to correct it is described. Section 4 contains a detailed discussion on the approach to the identification of new variables and their classification. In Section 5, we apply Fourier light-curve. decomposition to some of the RR Lyrae stars and calculate their metallicity and absolute magnitude. Given the differential reddening correction, the accuracy in the cluster distance determination is highlighted. In Section 6, we discuss the AV - log P relation for the RR Lyrae stars and the Oosterhoff type of the cluster. In Section 7, we summarize our results. 2 O B S E RVAT I O N S A N D R E D U C T I O N S 2.1 Observations The observations employed in this work were performed using the Johnson V and I filters on 15 nights during 2010–2012 at two different observatories. The 2.0 m telescope of the Indian Astronomical Observatory (IAO), Hanle, India, located at 4500 m above sea level, was used to obtain 212 and 171 epochs in the V and I filters, respectively. The detector was a Thompson CCD of 2048 × 2048 pixels with a pixel scale of 0.296 arcsec pixel−1 translating to an FOV of approximately 10.1 × 10.1 arcmin2 . Also, the Danish Faint Object Spectrograph and Camera (DFOSC) at the Danish 1.54 m telescope at La Silla, Chile, was used to collect 118 epochs in the V filter. DFOSC has a 2147 × 2101 pixel Loral CCD with a pixel scale of 0.396 arcsec pixel−1 and an FOV of ∼14.2 × 13.9 arcmin2 . The log of observations is shown in Table 1 where the dates, site, number of frames, exposure times and average nightly seeing are recorded. A total of 330 epochs in the V filter and 171 in the I filter spanning just over two years are included in this study. 2.2 Difference image analysis We employed the technique of DIA to extract high-precision photometry for all of the point sources in the images of NGC 6333 and we used the DANDIA1 pipeline for the data reduction process. 1 DANDIA is built from the DanIDL library of http://www.danidl.co.uk.. IDL. routines available at. Downloaded from http://mnras.oxfordjournals.org/ at Pontificia Universidad Cat�lica de Chile on May 19, 2016. new RRc stars, three eclipsing binaries, seven long-term variables and one field RRab star behind the cluster. A detailed identification chart and equatorial coordinates are given for all the variable stars in the field of our images of the cluster. Our data together with the literature V-data obtained in 1994 and 1995 allowed us to refine considerably the periods for all RR Lyrae stars. The nature of the new variables is discussed. We argue that variable V12 is a cluster member and an Anomalous Cepheid. Secular period variations, doublemode pulsations and/or the Blazhko-like modulations in some RRc variables are addressed. Through the light-curve Fourier decomposition of 12 RR Lyrae stars we have calculated a mean metallicity of [Fe/H]ZW = −1.70 ± 0.01(statistical) ± 0.14(systematic) or [Fe/H]UVES = −1.67 ± 0.01(statistical) ± 0.19(systematic). Absolute magnitudes, radii and masses are also estimated for the RR Lyrae stars. A detailed search for SX Phe stars in the Blue Straggler region was conducted but none were discovered. If SX Phe exist in the cluster then their amplitudes must be smaller than the detection limit of our photometry. The colour–magnitude diagram has been corrected for heavy differential reddening using the detailed extinction map of the cluster of Alonso-Garcı́a et al. This has allowed us to set the mean cluster distance from two independent estimates; from the RRab and RRc absolute magnitudes, we find 8.04 ± 0.19 and 7.88 ± 0.30 kpc, respectively..

(3) 1222. A. Arellano Ferro et al. Table 1. The distribution of observations of NGC 6333 for each filter, where the columns NV and NI represent the number of images taken with the V and I filters, respectively. We also provide the exposure time, or range of exposure times, employed during each night for each filter in the columns tV and tI and the average seeing in the last column. Date. Total:. NV. tV (s). NI. tI (s). Avg seeing (arcsec). 2.0 m IAO, Hanle, India 2.0 m IAO, Hanle, India 2.0 m IAO, Hanle, India 2.0 m IAO, Hanle, India 2.0 m IAO, Hanle, India 2.0 m IAO, Hanle, India 2.0 m IAO, Hanle, India 2.0 m IAO, Hanle, India 2.0 m IAO, Hanle, India 2.0 m IAO, Hanle, India 2.0 m IAO, Hanle, India 2.0 m IAO, Hanle, India 1.54 m Danish, La Silla, Chile 1.54m Danish, La Silla, Chile 1.54m Danish, La Silla, Chile. 29 4 11 14 13 3 13 6 3 23 52 41 28 39 51. 180–250 75–125 70 70 70–100 200–250 100–200 90–100 20–40 10–35 20–60 40–100 100–180 50–100 50. 26 5 11 14 13 3 13 6 3 24 53 – – – –. 40–60 10–60 8–10 10 10–15 10–40 15–50 12–15 7–20 4–35 3–15 – – – –. 2.2 1.5 1.4 1.4 1.7 2.8 1.8 1.9 1.9 1.8 2.2 2.7 3.1 1.8 1.0. 330. (Bramich et al. 2013) which includes an algorithm that models the convolution kernel matching the PSF of a pair of images of the same field as a discrete pixel array (Bramich 2008). The DANDIA pipeline performs standard overscan bias level and flat-field corrections of the raw images, and creates a reference image for each filter by stacking a set of registered best seeing calibrated images. For the La Silla image data, which are slightly undersampled in the best seeing images, it was necessary to preblur any images with a seeing of less than 3 pixel to force a full width at half-maximum (FWHM) of the PSF of at least 3 pixel. This is because undersampling can cause problems in determining the kernel solution matching the PSFs between images. We constructed three reference images, one in the V filter for each telescope and one in I for the Hanle data. For each of these reference images, 5, 10 and 6 calibrated images were stacked with total exposure times of 350, 500 and 50 s in the V (Hanle), V (La Silla) and I (Hanle) filters, respectively, with PSF FWHMs of ∼4.3, ∼3.2 and ∼3.5 pixel, respectively. In each reference image, we measured the fluxes (referred to as reference fluxes) and positions of all PSF-like objects (stars) by extracting a spatially variable (with a third-degree polynomial) empirical PSF from the image and fitting this PSF to each detected object. The detected stars in each image in the time series were matched with those detected in the corresponding reference image, and a linear transformation was derived which was used to register each image with the reference image. For each filter, a sequence of difference images was created by subtracting the relevant reference image, convolved with an appropriate spatially variable kernel, from each registered image. The spatially variable convolution kernel for each registered image was determined using bilinear interpolation of a set of kernels that were derived for a uniform 6 × 6 grid of subregions across the image. The differential fluxes for each star detected in the reference image were measured on each difference image. Light curves for each star were constructed by calculating the total flux ftot (t) in ADU/s at each epoch t from: ftot (t) = fref +. fdiff (t) , p(t). (1). 171. where fref is the reference flux (ADU/s), fdiff (t) is the differential flux (ADU/s) and p(t) is the photometric scale factor (the integral of the kernel solution). Conversion to instrumental magnitudes was achieved using mins (t) = 25.0 − 2.5 log [ftot (t)] ,. (2). where mins (t) is the instrumental magnitude of the star at time t. Uncertainties were propagated in the correct analytical fashion. The above procedure and its caveats have been described in detail in Bramich et al. (2011) and the interested reader is referred there for the relevant details.. 2.3 Photometric calibrations 2.3.1 Relative All photometric data suffer from systematic errors to some level. Sometimes they may be severe enough to be mistaken for bona fide variability in light curves (e.g. Safonova & Stalin 2011). However, multiple observations of a set of objects at different epochs, such as time series photometry, may be used to investigate, and possibly correct, these systematic errors (see for example Honeycutt 1992). This process is a relative self-calibration of the photometry, which is being performed as a standard post-processing step for large-scale surveys (e.g. Padmanabhan et al. 2008; Regnault et al. 2009; etc.). We apply the methodology developed in Bramich & Freudling (2012) to solve for the magnitude offsets Zk that should be applied to each photometric measurement from the image k. In terms of DIA, this translates into a correction (to first order) for the systematic error introduced into the photometry from an image due to an error in the fitted value of the photometric scale factor p. We found that for Hanle images in either filter the magnitude offsets that we derive are of the order of ∼10 mmag with a handful of worse cases reaching ∼30 mmag. For the La Silla data, the magnitude offsets that we derive are of the order of ∼1–5 mmag. Applying these magnitude offsets to our DIA photometry notably improves the light-curve quality, especially for the brighter stars.. Downloaded from http://mnras.oxfordjournals.org/ at Pontificia Universidad Cat�lica de Chile on May 19, 2016. 20100506 20110412 20110413 20110414 20110610 20110611 20110805 20110806 20120515 20120516 20120628 20120629 20120822 20120824 20120826. Telescope.

(4) Variable star census in NGC 6333. 1223. 2.4 Astrometry. Figure 1. Transformation relations between the instrumental and the standard photometric systems using a set of standard stars in the field of NGC 6333 provided by Peter Stetson. Top and bottom panels correspond to the observations from Hanle and La Silla, respectively. The lack of I-band standards forced us to leave the Hanle I data in the instrumental system. The V observations from La Silla have been fitted with the Hanle colour (v − i)Han to reveal the colour dependence. See Section 2.3.2 for a discussion.. 2.3.2 Absolute. 3 REDDENING. Standard stars in the field of NGC 6333 are not included in the online collection of Peter Stetson.2 However, Professor Stetson has kindly provided us with a set of preliminary standard stars which we have used to transform instrumental v magnitudes into the standard V system. The lack of equivalent values in the I filter forced us to leave our observations for this filter in the instrumental system. The standard minus the instrumental magnitudes show mild dependences on the colour, as can be seen in Fig. 1. The transformations are of the form Vstd = vHan + 0.0984(±0.0120)(v − i)Han − 1.3128(±0.0171), (3) Vstd = vLS + 0.0431(±0.0093)(v − i)Han + 0.8387(±0.0134). (4) Due to the lack of observations in the I band for La Silla, equation (4) was fit using the Hanle colour (v − i)Han . For the La Silla data, we have adopted (v − i)Han = 0.8 mag which corresponds approximately to the centre of RR Lyrae horizontal branch (HB), hence Vstd = vLS + 0.8731(±0.0163),. (5). which we have used to transform the instrumental into the standard magnitudes for La Silla. Given the instrumental colour range of RR Lyrae stars, 0.60–1.0, this practice produces standard V magnitudes consistent with the zero-point uncertainties of the above equations. For much redder variables, like those at the tip of the red giant 2 http://www3.cadc-ccda.hia-iha.nrc-cnrc.gc.ca/community/STETSON/ standards. A linear astrometric solution was derived for the V-filter reference image from La Silla (which has the larger FOV) by matching ∼600 hand-picked stars with the Third US Naval Observatory CCD Astrograph Catalog (UCAC3; Zacharias et al. 2010) using a field overlay in the image display tool GAIA (Draper 2000). We achieved a radial rms scatter in the residuals of ∼0.3 arcsec. The astrometric fit was then used to calculate the J2000.0 celestial coordinates for all of the confirmed variables in our FOV (see Table 3). The coordinates correspond to the epoch of the V reference image from La Silla, which pertains to the heliocentric Julian day 245 6166.51 d.. NGC 6333 is known to have differential reddening (Clement et al. 1984) with a heavily obscuring cloud to the SW of the cluster which is evident in the cluster images. Hence, without a proper correction for the differential reddening effects it would be difficult to tell how much of the dispersion in the position of the RR Lyrae stars in the colour–magnitude diagram (CMD) is due to reddening and how much is due to physical and evolutionary effects. The large dispersion in the HB and RGB in the uncorrected CMD shown in the left-hand panel of Fig. 3 is evident, and it is particularly visible in the distribution of the RR Lyrae stars. Foreground reddening estimates for NGC 6333 can be found in the literature, e.g. E(B − V) = 0.34 mag (Zinn 1985); 0.32– 0.37 mag (Reed, Hesser & Shawl 1988); 0.38 mag (Harris 1996, 2010 edition). To correct for the differential reddening, we have taken advantage of the detailed reddening maps calculated by Alonso-Garcı́a et al. (2012) for a group of globular clusters in the inner Galaxy including NGC 6333. In the map for this cluster, differential reddenings are presented for a grid of 27 668 coordinates within ∼11 arcmin centred in the field of the cluster and with a spatial resolution of ∼3.6 arcsec. For each star in our Hanle reference images, we averaged the differential reddenings for the four neighbouring values in the grid and follow Alonso-Garcı́a et al. in using the absolute extinction zero-point of E(B − V) = 0.43 mag, estimated by comparing with the map of Schlegel, Finkbeiner & Davis (1998) to obtain a reddening. Then, we corrected our V and i magnitudes for each star by adopting a normal extinction AV = 3.1E(B − V) and the ratio AI /AV = 0.479 (Cardelli, Clayton & Mathis 1989) from which. Downloaded from http://mnras.oxfordjournals.org/ at Pontificia Universidad Cat�lica de Chile on May 19, 2016. branch (RGB), the standard V magnitudes for the La Silla data may be off by as much as 0.025 mag. Due to saturation in the I-band images, variable V29 has no v − i value and we have also adopted (v − i)Han = 0.8 to calculate its standard V magnitudes. All of our Vi photometry for the variable stars in the field of the La Silla images of NGC 6333 is provided in Table 2. Only a small portion of this table is given in the printed version of this paper while the full table is available in electronic form. Fig. 2 shows the rms magnitude deviation in our V and i light curves, after the relative photometric calibration of Section 2.3.1, as a function of mean magnitude. We achieve rms scatter at the bright end of ∼10–20 mmag in both the V and I filters for the Hanle data, while we achieve an even better rms for all magnitudes for the La Silla data with an rms at the bright end of ∼3–5 mmag. We believe that the La Silla data, which come from the smaller of the two telescopes, performed significantly better in terms of S/N due to a combination of better seeing for the majority of images and more stable flat-fielding..

(5) 1224. A. Arellano Ferro et al.. Table 2. Time series V and i photometry for all the confirmed variables in our FOV. The telescope employed is coded in column 2 (2.0H = 2 m telescope in Hanle; 1.5LS = 1.54 m telescope in La Silla). The standard Mstd and instrumental mins magnitudes are listed in columns 5 and 6, respectively, corresponding to the variable star in column 1. Filter and epoch of mid-exposure are listed in columns 3 and 4, respectively. The uncertainty on mins is listed in column 7, which also corresponds to the uncertainty on Mstd . For completeness, we also list the quantities fref , fdiff and p from equation (1) in columns 8, 10 and 12, along with the uncertainties σ ref and σ diff in columns 9 and 11. This is an extract from the full table, which is available with the electronic version of the article (see the supporting information). Telescope. Filter. HJD (d). Mstd (mag). mins (mag). σm (mag). fref (ADU s−1 ). σ ref (ADU s−1 ). fdiff (ADU s−1 ). σ diff (ADU s−1 ). p. V1 V1 . . . V1 V1 .. . V1 V1. 2.0H 2.0H . . . 2.0H 2.0H .. . 1.5LS 1.5LS. V V . . . I I .. . V V. 245 5323.252 94 245 5323.266 83 . . . 245 5323.271 16 245 5323.297 22 .. . 245 6162.621 83 245 6162.623 29. 16.512 16.520 . . . 0.000 0.000 .. . 16.488 16.486. 17.735 17.742 . . . 16.632 16.636 .. . 15.615 15.613. 0.004 0.004 . . . 0.007 0.006 .. . 0.004 0.004. 843.914 843.914 . . . 2073.761 2073.761 .. . 9079.038 9079.038. 3.864 3.864 . . . 12.792 12.792 .. . 11.294 11.294. −28.802 −34.345 . . . +115.682 +110.797 .. . −3191.886 −3193.007. 2.353 2.301 . . . 10.584 10.198 .. . 21.994 21.104. 0.7536 0.7816. 0.7681 0.7825. 0.9373 0.9406. affecting the cluster. Then, relative to V1, E(V − I )φ(0.5−0.8) = − (V − i)φ(0.5−0.8) which in turn is used to calculate (V − i)φ(0.5−0.8) V1 var φ(0.5 − 0.8) = E(V − I)φ(0.5 − 0.8) /1.616 for each RRab E(B − V) star. These colour excesses can be compared with the independent values obtained from the reddening map E(B − V )map . In the bottom panel of Fig. 4, we show the comparison of E(B − V)φ(0.5 − 0.8) map versus E(B − V )map = E(B − V )map var − E(B − V )V 1 . The result should be a linear relation with unit gradient. Clearly the differential reddening in the Alonso-Garcia et al. maps and the estimated ones from the RR Lyrae stars V − i curves in the 0.5–0.8 phase range are, within the uncertainties, consistent. The final adopted values of E(B − V) for all of the RR Lyrae stars are those from the Alonso-Garcı́a et al. (2012) reddening map and they are listed in column 12 of Table 4.. 4 VA R I A B L E S TA R S I N N G C 6 3 3 3. Figure 2. The rms magnitude deviations as a function of magnitude. The upper panel corresponds to the V light curves from Hanle (black dots, 12 519 stars) and La Silla (cyan dots, 21 143 stars). The lower panel corresponds to the i light curves from Hanle (15 524 stars).. E(V − I)/E(B − V) = 1.616 follows. The resulting corrected CMD is shown in the right-hand panel of Fig. 3. The RR Lyrae stars have been plotted using their intensity-weighted magnitudes calculated by fitting equation (9) (Ao ) to their light curves. Individual reddenings for the RRab stars may also be calculated from their colour near minimum light. The method, originally proposed by Sturch (1966), has been further investigated by Blanco (1992), Mateo et al. (1995), Guldenschuh et al. (2005) and Kunder, Chaboyer & Layden (2010). Guldenschuh et al. (2005) concluded that for RRab stars the intrinsic colour between phases = 0.58 ± 0.02 mag. For the RRab 0.5 and 0.8 is (V − I )φ(0.5−0.8) o stars in NGC 6333 we have calculated the mean V − i colour curves as the difference between the Fourier fits from equation (9) for the standard V and instrumental i light curves. A plot of the colour curves in the 0.5–0.8 phase interval is shown for each star in the top panel of Fig. 4. The different mean levels of the (V − i)φ(0.5 − 0.8) curves are due to the differential reddening. The globular cluster NGC 6333 has not been explored by many investigators in search of variable stars. The first variable star was discovered by Shapley (1916). 35 years passed until 12 more variable stars were discovered by Sawyer (1951) as part of a photographic survey. Sawyer (1951) also measured the periods of the 13 known variables and labelled them V1–V13. The variable stars in NGC 6333 were not studied again until Christine Clement and collaborators started to work on the cluster another 35 years later publishing four papers of interest. One of the papers (Clement & Shelton 1996) reports on a search for new variables using CCD data which was successful in yielding eight new detections (V14– V21) and extracting a light curve for V11 for the first time. The other papers in the Clement series (Clement et al. 1984; Clement & Walker 1991; Clement & Shelton 1999) present various analyses of the known variables at their times of writing. In the following sections, we describe the use of our time series Vi photometry to search for new variables and to revisit the identifications, periodicities and light curves of the known variables.. 4.1 Search for variable stars We have been guided in the identification of the known variables by the finding charts of Clement et al. (1984) and Clement & Shelton (1996) and by the equatorial coordinates of the variables in NGC 6333 given by Samus et al. (2009). We had no problems identifying. Downloaded from http://mnras.oxfordjournals.org/ at Pontificia Universidad Cat�lica de Chile on May 19, 2016. Variable star ID.

(6) Variable star census in NGC 6333. 1225. Table 3. General data for all of the confirmed variables in NGC 6333 in the FOV of our images. Stars V22–V34 are new discoveries in this work. Labels ‘Bl’ and ‘d’ are for Blazhko variables and double-mode RRd, respectively. The best previous period estimates for each variable from the Clement series of papers (Clement et al. 1984; Clement & Walker 1991; Clement & Shelton 1996, 1999) are reported in column 10 for comparison with our refined periods in column 7. Variable type. V  (mag). i  (mag). AV (mag). Ai (mag). P (d) This work. V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12 V13 V14 V15 V16 V17 V18 V19 V20 V21 V22 V23 V24 V25 V26 V27 V28 V29 V30 V31 V32 V33 V34. RRab RRab RRab-Bl RRab RRc RRab RRab LPV RRc RRc-Bl RRab An.Cep RRab RRc RRab RRc-Bl? RRc RRc-Bl? RRd: RRc EW RRc-Bl RRc-Bl EW Ec LPV LPV LPV LPV LPV LPV EW RRab LPV. 16.276 16.209 16.364 16.168 16.256 16.351 16.566 14.871 16.261 16.285 16.065 15.671 17.681 16.253 16.239 16.073 16.243 16.187 16.264 16.340 16.818 16.483 16.513 17.381 17.111 17.380 17.069 13.216 13.591 13.342 13.190 15.961 17.920 15.045. 16.520 16.391 16.586 16.456 16.548 16.478 16.655 12.684 – 16.674 16.300 15.765 17.963 16.580 16.343 16.569 16.593 16.635 16.580 16.591 16.884 16.740 16.827 17.520 17.333 17.066 16.625 12.413 – 12.670 12.413 – – –. 1.155 1.110 >1.00 1.017 0.449 1.000 1.120 >0.69 >0.38 0.449 0.704 0.92 1.183 0.443 0.971 0.336 0.375 0.39 0.47 0.423 0.30b 0.510 0.311 0.45b 1.642b >0.3 >0.15 >0.2 >0.2 >0.1 >0.15 0.19 0.517 >0.1. 0.758 0.683 >0.70 0.677 0.285 0.672 0.715 >0.18 – 0.313 0.543 >0.51 0.780 0.250 0.760 0.218 0.283 0.28 0.29 0.219 0.23b 0.261 0.178 0.380b 1.330b >0.18 >0.2 >0.15 – >0.1 >0.1 – – –. 0.585 7309 0.628 1843 0.605 206 0.671 3000 0.378 8136 0.606 7809 0.628 4626 – 0.322 9883 0.319 8454 0.742 4499 1.340 255 0.479 8682 0.327 0530 0.641 7673 0.384 6714 0.317 5888 0.341 3440 0.366 7937 0.314 1782 0.720 4518 0.350 7561 0.304 6535 0.366 784 – – – – – – – 0.172 30d 0.575 97 –. a. β d Myr−1. 4.67. 11.50. HJDmax (+245 0000). P (d) Clement papers. RA (J2000.0). Dec. (J2000.0). 5779.2366 5665.4329 5664.4684 5723.4130 5666.4490 5666.4452 5723.3838 – 6166.5212 6107.2557 5723.4130 5323.3075 5323.3927 5323.3708 5723.4130 5724.3724 5666.4294 5323.2745 5723.4130 5323.2668 5724.3785 5779.1641 6108.1256 6107.2525 6107.2384a – – – – – – 6162.6608 6164.5019 –. 0.585 728 0.628 186 0.605 353 0.671 3021 0.378 812 0.607 795 0.628 4615 407 0.322 989 0.319 820 0.736 30 1.340 204 0.479 874 0.326 91 0.641 77 0.385 51 0.317 59 0.342 28 0.366 48 0.314 73 0.360 225 – – – – – – – – – – – – –. 17:19:18.32 17:19:14.77 17:19:26.41 17:19:13.62 17:19:14.36 17:19:07.02 17:19:04.18 17:19:06.84 17:19:35.41 17:19:14.53 17:19:11.73 17:18:52.69 17:19:30.29 17:19:14.14 17:19:10.52 17:19:13.52 17:19:10.48 17:19:10.61 17:19:12.76 17:19:11.09 17:19:09.85 17:19:03.12 17:19:21.15 17:19:13.04 17:19:25.94 17:19:13.84 17:18:56.40 17:19:11.68 17:19:02.68 17:19:11.83 17:19:12.65 17:19:37.10 17:18:46.97 17:18:45.62. −18:32:21.6 −18:31:36.2 −18:34:34.8 −18:31:39.6 −18:31:12.5 −18:31:20.9 −18:32:24.4 −18:32:42.8 −18:34:17.1 −18:30:39.7 −18:31:14.8 −18:33:20.3 −18:30:54.6 −18:31:20.3 −18:29:59.2 −18:30:43.0 −18:31:20.4 −18:30:41.9 −18:30:38.2 −18:31:02.7 −18:32:34.5 −18:35:31.1 −18:30:10.2 −18:27:39.4 −18:27:43.9 −18:29:37.4 −18:32:47.4 −18:31:04.5 −18:32:53.6 −18:31:27.9 −18:31:01.7 −18:35:40.1 −18:25:29.5 −18:28:52.0. Time of minimum light. b Depth of eclipse. c Possibly EA. d Real period may be twice this value.. all 21 known variables in our own time series data. Then, we applied a few approaches in the search for new variable star discoveries as we describe below. First, we have defined a variability statistic SB as  M  1  ri,1 ri,2 ri,ki 2 SB = + + ... + , N M i=1 σi,1 σi,2 σi,ki. (6). where N is the total number of data points in the light curve and M is the number of groups of time-consecutive residuals of the same sign from the inverse-variance-weighted mean magnitude. The residuals ri, 1 to ri,ki form the ith group of ki time-consecutive residuals of the same sign with corresponding uncertainties σ i, 1 to σi,ki . Fig. 5 shows the distribution of the SB statistic as a function of mean magnitude for the 12 519 light curves for the stars in the Hanle V images. This statistic, based on the original ‘alarm’ statistic A defined by Tamuz, Mazeh & North (2006), has been used by Arellano Ferro et al. (2012) to detect amplitude and period modulations in Blazhko variables. Its application to detecting light-curve variability was first introduced into our work by Figuera Jaimes et al. (2013), where we. discuss in detail its application and how to set theoretical detection thresholds using simulated light curves. As in Figuera Jaimes et al. (2013), we generated 105 simulated light curves for each star by randomly modifying the mean V magnitude within the uncertainty σ i of each data point, i.e. mi = V + λi σi , where λi is a random deviate drawn from a normal distribution with zero mean and unit σ . Then, we used the resulting distribution of SB values to determine the 50 per cent and 99.9 per cent percentiles which we plot in Fig. 5 as the horizontal blue and red lines, respectively. Clearly the noise in the real Hanle V light curves is not Gaussian since many more than the expected ∼13 stars lie above the 99.9 per cent percentile for pure Gaussian noise. Furthermore, for stars brighter than ∼17.5 mag, the SB statistic increases with brightness in an exponential manner (linear in a logarithmic plot). All of these effects are due to residual systematic errors in the light curves that can mimic real variability. It is clear that our method of using simulated light curves to define the variability detection threshold has not worked very well for our Hanle V light curves of NGC 6333, contrary to what we found for the NGC 7492 light curves from Figuera Jaimes et al. (2013). This is because the SB statistic is especially sensitive to the systematic trends in the light. Downloaded from http://mnras.oxfordjournals.org/ at Pontificia Universidad Cat�lica de Chile on May 19, 2016. Variable star ID.

(7) 1226. A. Arellano Ferro et al.. curves, and these trends are simply stronger and more coherent in the NGC 6333 light curves compared to the NGC 7492 light curves. We therefore opted to define our variability detection threshold by eye as the dashed blue line in Fig. 5. All known variable stars in the FOV of our Hanle images lie above our chosen detection threshold by design. It is clear that the RR Lyrae stars have substantially larger values of SB among stars of their magnitude range. Longterm variables also stand clearly above the line. We explored the light curves of all of the other stars above the threshold and could identify seven clear new variables to which we assigned variable numbers; two RRc stars (V22 and V23), two eclipsing binaries (V24 and V25) and three long-period variables (V26, V27 and V28). Their classifications and interesting properties will be discussed in Section 4.3. Candidate variables in the Blue Straggler (BS) region (see caption of Fig. 5) were investigated individually but none showed convincing indications of variability. A similar plot as in Fig. 5 was constructed for our V data from La Silla with very similar results. As a second strategy, we also applied the string-length method (Burke, Rolland & Boy 1970; Dworetsky 1983) to each light curve to determine the period and a normalized string-length statistic SQ . In Fig. 6, we plot the minimum SQ value for each light curve as a function of their corresponding CCD x-coordinate. The known variables are plotted with the coloured symbols as described in the caption. The horizontal blue line is not a statistically defined threshold but rather an upper limit, set by eye, that contains the majority of the known variables. Below this line we might expect to find previously undetected variables. In addition to the known variables, there are 10 other stars with SQ values below the blue line and their light curves were thoroughly examined for variability. We found long-term variability for three of them, which we assign. variable star names as V29, V30 and V31. We note that this method did not work for V27 but its variability was confirmed by the analysis described below. Finally, a third approach we have followed to identify variables in the field of our images is by detecting PSF-like peaks in a stacked image built from the sum of the absolute valued difference images normalized by the standard deviation in each pixel as described by Bramich et al. (2011). This method allowed us to confirm the variability of all of the new variables discovered so far and to find the new variables V32, V33 and V34. The previously known variables, along with all of the new discoveries, are listed in Table 3. The combination of the three approaches described above lead us to believe that our search for variable stars with continuous variations (i.e. not eclipsing binaries etc.) is fairly complete down to V ∼ 19 for amplitudes larger than 0.05 mag and periods between about 0.02 d and a few hundred days. 4.2 Period determination and refinement To aid in the refinement of the periods of the known and newly discovered variables, we have combined our data with the V lightcurve data from Clement & Shelton (1999). We have noticed small zero-point differences, of the order of a few hundreds of a magnitude, between the three sets of data which may be different from star to star. This is to be expected since, at least for DIA, the error in the reference flux affects all photometric measurements for a single star from the same data set in the same way, and the data for Hanle and La Silla each have a separate reference image with independently measured reference fluxes. Thus, for the period calculation we have. Downloaded from http://mnras.oxfordjournals.org/ at Pontificia Universidad Cat�lica de Chile on May 19, 2016. Figure 3. Colour–magnitude diagram of NGC 6333 for the Hanle data in the instrumental system (left) and after transforming v into the standard system and correcting for differential reddening (right) as described in the text. The coloured symbols correspond to the known variables and the new variables discovered in this paper. The colour coding is as follows: RRab stars – blue circles, known RRc stars – green circles, new RRc stars (V22, V23) – green triangles, long period variables (V8, V26, V27, V28, V30, V31) and AC (V12) – red circles, eclipsing binaries – red triangles. The region bounded by red dashed lines is an arbitrarily defined Blue Straggler region. New variables or interesting stars are discussed in Section 4.3 are labelled. The variables V29, V32, V33 and V34 are not plotted because they are either saturated in the I images, or outside the FOV of the Hanle data..

(8) Variable star census in NGC 6333. proceeded as follows. First, the string-length method (Burke et al. 1970; Dworetsky 1983) was used to get a first estimate of the period. Then small magnitude shifts were applied as necessary to the light-curve data for each star so as to better align the data and a second string length was run on the levelled up light curve. The new period was used to phase the light curve and we explored for further magnitude shifts if any. Generally two to three iterations were sufficient to find an accurate period that phases the data precisely. The new periods and those from the Clement series of papers are given in columns 7 and 10, respectively of Table 3. We note that in general the agreement is good but the new periods are considerably more precise. The light curves phased with the new periods are displayed in Figs. 7 and 8. 4.3 Individual stars In this section, we discuss the nature of some interesting known variables and the newly discovered variable stars. To discuss their nature and cluster membership we have built the CMD of Fig. 3 by calculating the inverse-variance-weighted mean magnitudes of ∼11 800 stars that have both standard V and instrumental i magnitudes. V3. This is an RRab star for which a strong evidence of exhibiting the Blazhko effect has been detected for the first time. Unfortunately our data do not fully cover the phased light curve at different amplitudes (see Fig. 7).. V5. Clement & Walker 1991 report this star as undergoing a period change. However, we do not detect this in our light curves combined with that from Clement & Shelton (1999), which have a combined baseline of ∼18 yr (see Fig. 8). V8. This variable was announced by Sawyer (1951) as a longperiod variable. A period of 407 d was suggested by Clement et al. (1984) and they commented on its small B amplitude of less than one magnitude. We show our light curves in V and i for this variable in Fig. 9. We are unable to estimate a period although the two observed minima are indeed separated by about 400 d. More data are required to complete the period analysis. The position of the star in the CMD is much to the red of the RGB, even in the CMD corrected for differential reddening, which implies that this star is not a cluster member. We note that the reddening required to bring this star back to the RGB if it is a cluster member is too large to be feasible for this field (E(B − V) ≈ 1.5 mag). V10. Clement & Walker 1991 also report this star as undergoing a period change as a period increase. Our light-curve data show small phase and amplitude variations reminiscent of the Blazhko effect in RRc stars (Arellano Ferro et al. 2012). Therefore, we believe that it is the Blazhko effect that has been detected previously and for which we present the first conclusive evidence of its presence in this star. V12. The variability of this star was discovered by Sawyer (1951) who finds it of similar brightness to the RR Lyrae stars. Clement et al. (1984) classified it as a Population II (Pop II) Cepheid with a period of 1.340 204 d. They also find the star to be of similar B mag as the RR Lyrae stars which they use to argue that the star is either much obscured by the presence of a prominent cloud to the SW of the cluster or that it is not a cluster member. We confirm its periodicity as 1.340 255 d and we note that its position in the corrected CMD is about 1.05 mag brighter than the mean HB, suggesting that indeed it is likely to be a cluster member that suffers higher than usual extinction due to the obscuring cloud to the SW of the cluster (see Fig. 10). Clement et al. (2001) have pointed out that Cepheids tend to occur in globular clusters with blue HBs. Assuming that V12 is indeed a cluster member, and given the distance to the cluster (see Section 5.4), its absolute magnitude MV is ∼−0.63 mag which along with its period, log P = 0.127, places the star on the P–L relation for anomalous Cepheids (ACs) pulsating in the fundamental mode (Pritzl et al. 2002, see their fig. 6). ACs are more luminous than Pop II Cepheids for a given period, they have a similar colour to RRc stars but are 0.5–1.5 mag brighter, and their period can be between 0.5 and 3 d (Wallerstein & Cox 1984). V12 fulfils all of these characteristics, hence in the remainder of this paper we shall refer to V12 as an AC. V13. This star was noted by Clement et al. (1984) to be much fainter than the other RR Lyrae stars in the cluster and they consider it to be a field star. This is a clear RRab star (see Fig. 7) and indeed it is ∼1.4 mag fainter than the other RRab stars. While NGC 6333 is known for having heavy differential reddening, we discard interstellar extinction as the cause of its faintness because its colour is similar to that of other RR Lyrae stars (Fig. 3). Hence, we agree with Clement et al. (1984) in arguing that V13 is not a member of the cluster but that instead it is a background object. V14. The two periods 0.326 91 d from Clement & Shelton (1999) and 0.327 0659 d from the string-length method in this work fail to phase properly the combined light-curve data from Clement & Shelton (1999) and our light curves (Fig. 8). However, the period 0.327 0530 d accompanied with a secular period change rate of 4.67 d Myr−1 phases the light curve much better as it will be shown in Section 4.5.. Downloaded from http://mnras.oxfordjournals.org/ at Pontificia Universidad Cat�lica de Chile on May 19, 2016. Figure 4. The top panel shows the difference between the Fourier fits to the standard V and instrumental i magnitudes for the light curves of the RRab stars in the phase interval 0.5–0.8. The different mean levels of these curves are due to the differential reddening affecting the cluster. V13 is not included in this analysis since it is not a cluster member (see Section 4.3). The Fourier fits of V2 and V11 are shown only in part since their light curves are not fully covered by data in the 0.5–0.8 phase range. In the bottom panel, we compare the differential values E(B − V)φ(0.5 − 0.8) of a given variable relative to V1 with E(B − V )map also relative to V1. The error bar represents the typical uncertainty in the colour differences.. 1227.

(9) 1228. A. Arellano Ferro et al.. Table 4. Fourier coefficients Ak for k = 0, 1, 2, 3, 4, and phases φ 21 , φ 31 and φ 41 , for the nine RRab and seven RRc type variables for which the Fourier decomposition fit was successful. The numbers in parentheses indicate the uncertainty on the last decimal place. Also listed are the number of harmonics N used to fit the light curve of each variable, the deviation parameter Dm (see Section 5.1) and the colour excess E(B − V). Variable ID. A0 (V mag). A1 (V mag). A2 (V mag). A3 (V mag). A4 (V mag). φ 21. φ 31. φ 41. N. Dm. E(B − V) (mag). 3.910(8) 3.863(14) 4.124(11) 3.965(14) 3.941(9) 4.410(43) 3.804(31) 3.810(32) 4.407(75). 8.118(12) 8.167(22) 8.495(19) 8.194(21) 8.209(12) 8.903(67) 7.961(42) 8.060(49) 8.674(191). 6.109(16) 6.147(31) 6.664(27) 6.121(30) 6.226(17) 7.210(137) 5.870(64) 6.100(68) 7.929(271). 9 9 9 9 9 7 8 8 4. 1.9 2.4 0.8 2.7 0.7 4.9 3.3 3.7 3.1. 0.416 0.378 0.378 0.422 0.489 0.387 0.443 0.411 0.507. 4.828(47) 5.013(87) 5.073(70) 3.919(137) 4.921(74) 4.886(46) 4.891(73). 3.932(105) 2.746(241) 3.241(126) 4.353(103) 3.894(400) 2.967(123) 4.619(249). 2.206(150) 1.390(164) 1.523(157) 1.580(157) 1.747(166) 1.821(550) 2.684(294). 4 4 4 4 4 4 4. – – – – – – –. 0.388 0.407 0.382 0.395 0.403 0.396 0.457. RRab stars 16.276(1) 16.209(1) 16.168(1) 16.351(1) 16.566(1) 16.065(1) 17.681(3) 16.239(3) 17.904(3). 0.401(1) 0.372(2) 0.341(1) 0.341(2) 0.379(1) 0.252(4) 0.403(4) 0.350(4) 0.212(5). 0.198(1) 0.187(2) 0.184(1) 0.175(2) 0.187(1) 0.129(4) 0.186(4) 0.186(4) 0.090(4). 0.141(1) 0.129(2) 0.119(1) 0.119(2) 0.130(1) 0.074(4) 0.139(4) 0.139(4) 0.025(4). 0.095(1) 0.093(2) 0.071(1) 0.079(2) 0.089(1) 0.031(4) 0.097(3) 0.074(4) 0.016(5) RRc stars. V5 V10 V14 V16 V17 V20 V23. 16.256(1) 16.285(2) 16.253(2) 16.073(2) 16.243(2) 16.340 (1) 16.513(1). 0.225(1) 0.232(3) 0.221(3) 0.188(2) 0.187(2) 0.211(1) 0.149(2). 0.028(1) 0.033(3) 0.048(3) 0.015(2) 0.044(2) 0.036(2) 0.024(2). 0.012(1) 0.013(3) 0.024(3) 0.025(2) 0.007(3) 0.012(2) 0.007(2). 0.008(1) 0.017(3) 0.021(3) 0.013(2) 0.016(2) 0.001(1) 0.004(2). Figure 5. Distribution of the SB statistic as a function of mean V magnitude for 12 519 stars measured in the V Hanle images of NGC 6333. The coloured symbols for variable stars are as described in the caption of Fig. 3. Stars in the Blue Straggler region with SB below the variability detection threshold are plotted as yellow circles while cyan circles represent Blue Straggler stars with SB above the detection threshold and hence potential variable candidates of the SX Phe type. However, none of the Blue Stragglers was found to display convincing variability. The two vertical dashed red lines correspond to the magnitude limits set for the Blue Straggler region in the CMD.. V16. Clement & Shelton (1996) speculate that this star is a double-mode RR Lyrae (RRd). However, we have been able to phase the three available sets of V data with one single period 0.384 6714 d, and we do not find any signs of secondary frequencies in the frequency spectrum. Thus, we do not confirm the double-mode nature. Figure 6. Minimum value of the string-length parameter SQ calculated for the 12 519 stars with a light curve in our V reference image for the Hanle data, versus the CCD x-coordinate. The coloured symbols are as described in the caption of Fig. 3.. of this RRc star (see discussion in Section 4.4) but the star may be a Blazhko variable (see Fig. 8). V17. The light curve of this star can be seen in Fig. 8. We note that the celestial coordinates given by Samus et al. (2009) seem to point to the bright star near V17 while the authentic V17 is the more northern fainter star of the pair. The correct coordinates are given in Table 3 and a proper identification is in Fig. 10. V18. The light curve of this RRc star displays nightly phase modulations which can be partially explained by a secular period change. Downloaded from http://mnras.oxfordjournals.org/ at Pontificia Universidad Cat�lica de Chile on May 19, 2016. V1 V2 V4 V6 V7 V11 V13 V15 V33.

(10) Variable star census in NGC 6333. 1229. (see Section 4.5). However, some modulations remain suggesting the presence of the Blazhko effect. Unfortunately, its light curve is noisy due to the position of the star in a heavily crowded region. V19. The light curve of this RR Lyrae star displays nightly phase modulations since its light curve is not cleanly phased with the period found by the string-length method (see Table 3). It also seems to show some very mild amplitude variations (Fig. 8). The light curve is also reminiscent of the RRc stars with Blazhko effect found in M53 by Arellano Ferro et al. (2012). In Section 4.4, we shall discuss the possible double-mode nature of V19. V21. The variability of this star was discovered by Clement & Shelton (1996). These authors noticed that the star is fainter than the other RR Lyrae stars in the cluster and that it has a substantially different Fourier φ 21 parameter. Hence, they concluded that it is either not an RR Lyrae star or that it is not a cluster member. Later, Clement in the CVSGC classify it as an EW variable. In the corrected CMD, the star falls just below the HB by ∼0.3 mag. Our best period is 0.720 4518 d and it produces the light curve of Fig. 11, where we notice two minima of different depths, typical of semicontact binaries. Thus, we agree that the star is an EW star but with a period approximately double the one reported in Clement & Shel-. ton (1996, 1999). The finding chart in Clement & Shelton (1996) is a bit misleading since the star is hardly visible in their map. This has probably led Samus (2009) to providing the wrong RA and Dec. which correspond to a neighbouring star. The correct coordinates are given in Table 3. The star is properly identified in our finding chart of Fig. 10. V22 and V23. We have discovered these two new variables. Their period, light curves (see Fig. 8) and position in the CMD lead us to classify them as RRc stars. The light curve of V22 shows strong phase and amplitude modulations, while the light curve of V23 also shows phase and amplitude modulations to a lower level. We therefore conclude that both stars may exhibit the Blazhko effect. However, in Section 4.4 we shall explore the doublemode possibility by searching for a secondary frequency in the spectrum. V24. This is a new eclipsing binary with a period of 0.366 784 d with two different eclipse depths (see Fig. 11). Its period along with its position in the corrected CMD ∼1.2 mag below the HB support its classification as a W Ursae Majoris-type binary (or EW). V25. The light curve of this new eclipsing binary is shown in Fig. 12. One eclipse has been detected at HJD 245 6107.24 in both. Downloaded from http://mnras.oxfordjournals.org/ at Pontificia Universidad Cat�lica de Chile on May 19, 2016. Figure 7. Standard V and instrumental i light curves of the RRab stars in NGC 6333 phased with the periods listed in Table 3. The blue points represent V data from Clement & Shelton (1999). The black and red points represent Hanle and La Silla data, respectively..

(11) 1230. A. Arellano Ferro et al.. the V and I filters. With only one eclipse we are unable to estimate the orbital period. We note that there is also the hint of ellipsoidal variations in the out-of-eclipse light curve. V26, V27, V28, V29, V30, V31 and V34. The light curves of these new variable stars show long-term variations (Fig 9). For V29 and V34, we have no I-band data. However, the rest of these variables are located well within the RGB in the CMD (Fig. 3). Our data are not sufficient to calculate their periods. V32. The light curve of this new variable is shown in Fig. 13 phased with our best period found by the string-length method of 0.172 30 d. Twice this period would produce a clean double-wave light curve with some suggestion of different depth minima. The star is outside the FOV of our Hanle images and therefore we only have V-band data from La Silla. Although its mean magnitude V ∼ 16 mag is similar to the brightness of the RRc stars in the cluster, we believe the star is rather an eclipsing binary of the W Ursae Majoris-. type (or EW), whose period and nature can be better defined upon obtaining further accurate data. V33. The light curve phased with our best period 0.575 40 d is shown in Fig. 7. This new variable star is obviously an RRab star but given its mean magnitude V ∼17.94 mag it must be a field star further away than NGC 6333. The star is outside the FOV of our Hanle images. V34. This new variable is a long-term pulsator whose variability is clear in the three nights of data as shown in Fig. 9. The star is outside the FOV of our Hanle images. 4.4 Double-mode pulsators Clear phase and/or amplitude modulations are seen in several of the RRc light curves in Fig. 8. Phase and amplitude modulations can be the result of a Blazhko effect or a double-mode pulsation.. Downloaded from http://mnras.oxfordjournals.org/ at Pontificia Universidad Cat�lica de Chile on May 19, 2016. Figure 8. Standard V and instrumental i light curves of the RRc stars in NGC 6333 phased with the periods listed in Table 3. To highlight any phase and amplitude modulations, colours have been assigned for different observing runs: 1994 and 1995 May – blue (Clement & Shelton 1999), 2010 May – cyan, 2011 April – olive, 2011 June–August – green, 2012 May – purple, 2012 June – black, 2012 August – red. The variable V9 is outside of the FOV of the Hanle images and thus only its V light curve from the La Silla data is displayed. Note that the light curves for V14 and V18 have been phased with the best period determined without modelling a secular period change..

(12) Variable star census in NGC 6333. 1231. To distinguish between these possibilities one requires a convincing identification of secondary periods in the light curve and a long time series of accurate photometry is generally needed. Despite the limitations of our data set we have attempted the identification of such secondary periods for the RRc stars showing, to some extent, phase modulations, i.e. V10, V16, V18, V19, V22 and V23. We used the program PERIOD04 (Lenz & Breger 2005) to identify the primary or first overtone period P1 previously found by the string-length method described in Section 4.2 and given in column 7 of Table 3. Then, we pre-whitened the data from the primary period and searched the residuals for a secondary period. The frequency spectra of the original light curves and the residuals are shown in Fig. 14. No significant secondary frequencies were detected in the residual spectra of V10, V16, V18, V22 and V23 other than small residuals at the 1 d aliases of the main frequency f1. For V22 however, the amplitude modulations are so prominent that they could not be explained by period variations and rather they must be the result of the Blazhko effect whose periodicity we are not in position to estimate given our data set. For V19, a rather prominent frequency was found in the residual spectrum at 2.029 49 d−1 , or a period of 0.492 734d. If this period is interpreted as the fundamental P0 and with P1 = 0.366 7937d we find a ratio P1 /P0 = 0.744 which corresponds to the canonical 0.746 ± 0.001 ratio in RRd stars (Cox, Hudson & Clancy 1983; Catelan 2009) and with the period ratio found in a large sample of double-mode RRd stars in the Large Magellanic Cloud (LMC) (Alcock et al. 2000). P0 produces a residuals light curve shown in Fig. 15. The above two facts strongly suggest that V19 is indeed a double-mode RR Lyrae or RRd star. An inspection of the light curve of V19 in fig. 4 b of Clement & Shelton (1996) reveals clear nightly. phase drifts like those noted by these authors for V16; however, this case was not pursued further by them. Thus, V10, V16, V18, V22 and V23 are rather reminiscent of the Blazhko RRc variables in NGC 5024 (Arellano Ferro et al. 2012). Given the nature of our time series we cannot estimate their Blazhko period or the possible presence of non-radial modes for which dense, accurate and prolonged observations are required as recent experience has shown in targets of space missions (e.g. Guggenberger et al. 2012, and references there in). 4.5 RRc stars with secular period variation The RRc stars V14 and V18 show the largest phase variations not obviously accompanied with amplitude modulations. This is suggestive of a secular period change. To investigate this possibility, we have used a variation of the string-length method previously described in Bramich et al. (2011). We define   t −E t −E − (7) φ(t) = P (t) P (t) P (t) = P0 + β(t − E),. (8). where φ(t) is the phase at time t, P(t) is the period at time t, P0 is the period at the epoch E and β is the rate of period change. We fix the value of E and calculate the best-fitting values of P0 and β (in units d d−1 ) within a small range of possible periods around the previously found best-fitting period as described in Section 4.2. We have applied this approach to the light curves of V14 and V18, both of which show clear phase displacements over time (see Section 4.3).. Downloaded from http://mnras.oxfordjournals.org/ at Pontificia Universidad Cat�lica de Chile on May 19, 2016. Figure 9. V and i magnitude variations of the LPVs in NGC 6333. The black and red symbols are data from Hanle and La Silla, respectively. V29 is saturated in our Hanle I-band images. V28, V29, V30 and V31 are saturated in our La Silla V-band images. V34 is outside the FOV of our Hanle images..

(13) 1232. A. Arellano Ferro et al.. Downloaded from http://mnras.oxfordjournals.org/ at Pontificia Universidad Cat�lica de Chile on May 19, 2016. Figure 10. Finding charts constructed from our La Silla V reference image; north is up and east is to the right. The cluster image is 13.04 × 11.39 arcmin2 , and the image stamps are of size 20.6 × 20.6 arcsec2 . Each confirmed variable lies at the centre of its corresponding image stamp and is marked by a cross-hair..

(14) Variable star census in NGC 6333. 1233. 17 18 19 6107.5. 6108. 6107.5. 6108. 17 18 19. Figure 12. Light curve of V25 where one eclipse has been detected at HJD 245 6107.24d. The inset panel is a zoom-in on the eclipse. The black and red points represent Hanle and La Silla data, respectively.. In Fig. 16, we show the light curves of these two stars phased with a constant period (top panels), and with the new period and period change rate calculated with the above equations (bottom panels). It is clear that the new periods and period change rates produce much cleaner and more coherent light curves. We conclude that V14 and V18 have secular period changes at the rates of 4.67 and 11.5 d Myr−1 , respectively. In the case of V18, the light curve phasing is still not fully satisfactory and therefore we do not discard the possibility of additional amplitude modulations that could be associated with a Blazhko effect similar to many of the RRc stars in NGC 5024 (Arellano Ferro et al. 2012). 4.6 Search for variable stars among the blue stragglers The BS region in NGC 6333 is arbitrarily defined in Fig. 3 by the dashed red lines. In Fig. 5, this translates to the magnitude limits indicated by the two vertical red dashed lines. In this figure, all of the stars in the BS region are plotted with coloured points;. Figure 13. Light curve of the binary star V32 phased with two possible periods. The star is out the FOV of Hanle, hence we can only plot data from La Silla.. yellow or cyan depending on whether they lie below or above the chosen variability detection threshold for SB . We found that 40 of the BS stars have the SB statistic for the Hanle data above this threshold and their light curves were explored in detail. However, no clear and convincing variability was found in any of these stars and the relatively high value of SB could always be explained by groups of spurious photometric measurements or by the effect on the photometry of a nearby known variable. We conclude that if SX Phe stars exist in this cluster, then they must be of an amplitude similar to or smaller than the rms achieved by our photometry (see Fig. 2). To highlight this point, if we consider that the known SX Phe stars in NGC 5024 (another OoII cluster, with a blue HB and similar metallicity to NGC 6333) (Arellano Ferro et al. 2011) actually existed instead in NGC 6333, then we would have been able to detect about 19 out of 25(76 per cent) of them in our data, given the completeness of our variable star search reported at the end of Section 4.1.. Downloaded from http://mnras.oxfordjournals.org/ at Pontificia Universidad Cat�lica de Chile on May 19, 2016. Figure 11. V and i light curves of the AC V12, and the eclipsing binaries V21 and V24, phased with the periods given in Table 3. The black and red points are data from Hanle and La Silla, respectively. The blue points correspond to the V observations of Clement & Shelton (1999)..

(15) 1234. A. Arellano Ferro et al.. Figure 16. Two RRc stars with secular period change. The top panels show the light curves phased with a constant period found as described in Section 4.2. The bottom panels show the light curves phased with the new period and period change rate β given in the legend. The colours are coded as in the caption of Fig. 8.. φ ij = jφ i − iφ j and Rij = Ai /Aj are defined. Although the V data from Clement & Shelton (1999) have been very useful in refining the periods of the RR Lyrae stars, in fitting the light curves we have opted not to include the data since they have a considerably larger scatter. The mean magnitudes A0 , and the Fourier light-curve fitting parameters of the individual RRab- and RRc-type stars in V are listed in Table 4. The Fourier decomposition parameters can be used to calculate [Fe/H] and MV for both RRab and RRc stars by means of the semiempirical calibrations given in equations (10), (11), (12) and (13). The calibrations for [Fe/H] and MV used for RRab stars are Figure 15. Residuals of V19 phased with the fundamental period given in the legend. The blue points are the V data from Clement & Shelton (1999). The black and red points are the V data from Hanle and La Silla, respectively. See Section 4.4 for a discussion.. 5 R R L yrae S TA R S 5.1 [Fe/H] and MV from light-curve Fourier decomposition Estimates of physical parameters, such as metallicity, luminosity and effective temperatures can be made from the Fourier decomposition of the light curves of RR Lyrae stars into their harmonics and from semi-empirical relationships (e.g. Jurcsik & Kovács 1996; Morgan, Wahl & Wieckhorts 2007). Traditionally the light curves are represented by the equation:   N  2π k(t − E) + φk , Ak cos (9) m(t) = Ao + P k=1 where m(t) are magnitudes at time t, P the period and E the epoch. A linear minimization routine is used to fit the data with the Fourier series model, deriving the best-fitting values of the amplitudes Ak and phases φ k of the sinusoidal components. From the amplitudes and phases of the harmonics in equation (9), the Fourier parameters. (s) [Fe/H]J = −5.038 − 5.394P + 1.345φ31 ,. (10). MV = −1.876 log P − 1.158A1 + 0.821A3 + K,. (11). given by Jurcsik & Kovács (1996) and Kovács & Walker (2001), respectively. The standard deviations of the above calibrations are 0.14 dex (Jurcsik 1998) and 0.04 mag, respectively. In equation (11), we have used K = 0.41 to scale the luminosities of the RRab with the distance modulus of 18.5 mag for the LMC (see the discussion in section 4.2 of Arellano Ferro, Giridhar & Bramich 2010). Equation (10) is applicable to RRab stars with a deviation parameter Dm , defined by Jurcsik & Kovács (1996) and Kovács & Kanbur (1998), not exceeding an upper limit. These authors suggest Dm ≤ 3.0. The Dm is listed in column 11 of Table 4. A few stars have Dm marginally larger than this limit but given the quality of their light curve and the good coverage of the cycle we opted for reporting their iron abundance. The metallicity scale of equation (10) was transformed into the widely used scale of Zinn & West (1984) using the relation [Fe/H]J = 1.431[Fe/H]ZW + 0.88 (Jurcsik 1995). These two metallicity scales closely coincide for [Fe/H] ∼ −2.0 while for [Fe/H]∼−1.5, the [Fe/H]J is about 0.24 dex less metal poor than [Fe/H]ZW (see also Fig. 2 of Jurcsik 1995). Therefore, for a metal poor cluster such as NGC 6333, the two scales are not significantly different.. Downloaded from http://mnras.oxfordjournals.org/ at Pontificia Universidad Cat�lica de Chile on May 19, 2016. Figure 14. Frequency spectra of selected RRc stars. The left-hand panels show the spectrum produced by the original data. The major peaks correspond to the periods listed in Table 3 and used to produce the light curves in Figs 7 and 8. The right-hand panels show the spectra of the residuals after pre-whitening the main frequency. Note that the vertical scale in the righthand panels has been increased to highlight possible secondary frequencies. See the text for a discussion..

(16) Variable star census in NGC 6333. 1235. Table 5. Physical parameters for the RRab and RRc stars. The numbers in parentheses indicate the uncertainty on the last decimal place and have been calculated as described in the text. Star. [Fe/H]ZW. MV. log(L/L ). log Teff. M/M. R/R. RRab stars. Weighted mean. −1.666(11) −1.780(21) −1.634(18) −1.674(20) −1.742(11) −1.519(63) −1.415(43) −1.932(46) −1.107(181). 0.497(1) 0.464(3) 0.438(1) 0.520(3) 0.456(1) 0.422(6) 0.656(6) 0.456(6) 0.635(7). 1.701(1) 1.714(1) 1.725(1) 1.692(1) 1.717(1) 1.731(2) 1.638(2) 1.717(2) 1.646(3). 3.808(7) 3.803(8) 3.800(8) 3.805(8) 3.803(7) 3.794(17) 3.819(10) 3.798(10) 3.803(31). 0.73(6) 0.73(7) 0.70(6) 0.70(6) 0.73(6) 0.66(13) 0.71(8) 0.75(9) 0.68(25). 5.77(1) 6.00(1) 6.15(1) 5.78(1) 6.01(1) 6.38(4) 5.09(2) 6.14(2) 5.54(7). −1.702(6). 0.467(1). 1.713(1). 3.803(3). 0.72(3). 5.73(1). RRc stars V5 V10 V14 V16 V17 V20 V23 Weighted mean a Values. −1.81(22) −1.83(44) −1.69(24) −1.65(23) −1.22(78) −1.69(22) −0.45(50)a. 0.518(2) 0.527(4) 0.499(3) 0.530(6) 0.537(3) 0.609(2) 0.604(3). 1.693(1) 1.689(2) 1.700(1) 1.688(3) 1.685(1) 1.656(1) 1.658(1). 3.885(1) 3.862(1) 3.863(1) 3.859(1) 3.869(2) 3.864(1) 3.875(1). 0.49(1) 0.59(1) 0.58(1) 0.46(1) 0.54(2) 0.54(1) 0.49(1). 4.54(7) 4.44(13) 4.46(7) 4.48(7) 4.28(20) 4.23(7) 4.02(11). −1.71(11). 0.554(1). 1.638(1). 3.862(1). 0.51(1). 4.79(4). not included in the average. V13 and V33 are not cluster members.. For the RRc stars we employ the calibrations: [Fe/H]ZW = 52.466P − 30.075P + 2. (c)2 0.131φ31. (c) (c) −0.982φ31 − 4.198φ31 P + 2.424,. (12). (s) − 4.447A4 , MV = 1.061 − 0.961P − 0.044φ21. (13). given by Morgan et al. (2007) and Kovács (1998), respectively. The standard deviations of the above calibrations are 0.14 dex and 0.042 mag, respectively. For equation (13) the zero-point was reduced to 1.061 mag to make the luminosities of the RRc consistent with the distance modulus of 18.5 mag for the LMC (see discussions by Cacciari, Corwin & Carney 2005; Arellano Ferro et al. 2010). The original zero-point given by Kovács (1998) is 1.261. In the above calibrations the phases are calculated either from series of sines or of cosines as indicated by the superscript. We transformed our cosine series phases into the sine ones where necessary via the relation φj(s)k = φj(c)k − (j − k) π2 . The physical parameters for the RR Lyrae stars are reported in Table 5. We have not included the star V3 since it has prominent Blazhko modulations and V9 because our observations are not sufficient to cover the complete light curve. Despite the fact that most RRc stars show to some extent amplitude and/or phase modulations, in calculating mean parameters, we only excluded stars with extreme modulations; namely V18 and V22. V19 was also not considered given its double-mode nature. We also excluded V13 and V33 which are not cluster members. V14 was considered only after the light curve was phased with the period change rate included, i.e. the light curve in the bottom panel of Fig. 16. The inverse-variance-square-weighted means. are also given in Table 5. The systematic error in the metallicity estimates is of the order of the scatter in the calibrations of equations (10) and (12), i.e. 0.14 dex. Thus, the metallicity obtained from the RRab and RRc stars is [Fe/H]ZW = −1.70 ± 0.01 which can be converted to the new scale defined by Carretta et al. (2009) using UVES spectra of RGB stars in globular clusters by [Fe/H]UVES = −0.413 +0.130[Fe/H]ZW − 0.356[Fe/H]2ZW . We find [Fe/H]UVES = −1.67 ± 0.01. Clement & Shelton (1999) found, from the light-curve Fourier decomposition of V2, V4, V6 and V7, the average [Fe/H]ZW = −1.77 ± 0.08 in good agreement with our result. To the best of our knowledge no iron abundance of NGC 6333 has been calculated from high resolution spectroscopy. The first calculation of [Fe/H]ZW = −1.81 ± 0.15 was made from integrated photometry in the Q39 index calibration by Zinn (1980) and reported by Harris (1996) (2010 edition) on the modern ZW scale, [Fe/H]ZW = −1.77. The iron abundance of NGC 6333 has also been estimated by Costar & Smith (1988) from the Preston (1959) S parameter estimated on V1 and V3. These authors calculated a [Fe/H] value of −1.93 and −1.45 for these two variables, respectively, for an average of −1.71. They used the S–[Fe/H] calibration of Butler (1975). Had they used the calibration of Suntzeff, Kraft & Kinman (1994) for RRab stars or Jurcsik’s (1995) or Fernley’s et al. (1998) their average [Fe/H] would have been −1.72, −1.73 and −1.92, respectively. The value [Fe/H] = −1.72 is commonly cited in the literature on NGC 6333, most likely from the S result. We have to note however that the S values were obtained only on two RR Lyrae stars (V1 and V3) at a single phase and that the method is strongly phase dependent. We should also keep in mind that V3 is a clear Blazhko variable. Thus, despite the good numerical. Downloaded from http://mnras.oxfordjournals.org/ at Pontificia Universidad Cat�lica de Chile on May 19, 2016. V1 V2 V4 V6 V7 V11 V13a V15 V33a.

Figure

Table 1. The distribution of observations of NGC 6333 for each filter, where the columns N V and N I
Figure 1. Transformation relations between the instrumental and the stan- stan-dard photometric systems using a set of stanstan-dard stars in the field of NGC 6333 provided by Peter Stetson
Figure 2. The rms magnitude deviations as a function of magnitude. The upper panel corresponds to the V light curves from Hanle (black dots, 12 519 stars) and La Silla (cyan dots, 21 143 stars)
Table 3. General data for all of the confirmed variables in NGC 6333 in the FOV of our images
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